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Statistics for HCI: Making Sense of Quantitative Data

Alan Dix Orcid Logo

Synthesis Lectures on Human-Centered Informatics, Volume: 13, Issue: 2, Pages: 1 - 181

Swansea University Author: Alan Dix Orcid Logo

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DOI (Published version): 10.2200/s00974ed1v01y201912hci044

Abstract

Many find statistics confusing, and perhaps even more confusing given recent publicity about problems with traditional p-values and alternative statistical techniques including confidence intervals and Bayesian statistics. This book aims to help you navigate this morass: to understand the debates, t...

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Published in: Synthesis Lectures on Human-Centered Informatics
ISSN: 1946-7680 1946-7699
Published: Morgan & Claypool Publishers LLC 2020
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URI: https://cronfa.swan.ac.uk/Record/cronfa54250
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first_indexed 2020-05-16T03:47:12Z
last_indexed 2023-01-11T14:32:11Z
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title Statistics for HCI: Making Sense of Quantitative Data
spellingShingle Statistics for HCI: Making Sense of Quantitative Data
Alan Dix
title_short Statistics for HCI: Making Sense of Quantitative Data
title_full Statistics for HCI: Making Sense of Quantitative Data
title_fullStr Statistics for HCI: Making Sense of Quantitative Data
title_full_unstemmed Statistics for HCI: Making Sense of Quantitative Data
title_sort Statistics for HCI: Making Sense of Quantitative Data
author_id_str_mv e31e47c578b2a6a39949aa7f149f4cf9
author_id_fullname_str_mv e31e47c578b2a6a39949aa7f149f4cf9_***_Alan Dix
author Alan Dix
author2 Alan Dix
format Book
container_title Synthesis Lectures on Human-Centered Informatics
container_volume 13
container_issue 2
container_start_page 1
publishDate 2020
institution Swansea University
issn 1946-7680
1946-7699
doi_str_mv 10.2200/s00974ed1v01y201912hci044
publisher Morgan & Claypool Publishers LLC
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Mathematics and Computer Science - Computer Science{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Mathematics and Computer Science - Computer Science
url http://dx.doi.org/10.2200/s00974ed1v01y201912hci044
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description Many find statistics confusing, and perhaps even more confusing given recent publicity about problems with traditional p-values and alternative statistical techniques including confidence intervals and Bayesian statistics. This book aims to help you navigate this morass: to understand the debates, to be able to read and assess other people's statistical reports, and make appropriate choices when designing and analysing your own experiments, empirical studies and other forms of quantitative data.
published_date 2020-04-09T04:07:40Z
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score 11.012678

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